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https://issues.apache.org/jira/browse/HBASE-20188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16425123#comment-16425123
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Anastasia Braginsky commented on HBASE-20188:
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[~stack],
Great to hear that you found the reason for read performance big gap!
Regarding Eshcar's result, as I understand it was just intended to show the
effect of not using MSLAB and using another GC (G1GC). All other parameter were
default, no change in the segment count or in-memory-flush size threshold.
However, I think we should stop using and comparing in-memory-compaction with
10% threshold and change it to 2%.
Eshcar's result show that in 99/95th percentile (under given workloads)
in-memory-compaction doesn't show performance degradation. Also for mixed
workload BASIC performs better then NONE. We still have to bring you a workload
that makes the in-memory-compaction to perform in its full power.
> [TESTING] Performance
> ---------------------
>
> Key: HBASE-20188
> URL: https://issues.apache.org/jira/browse/HBASE-20188
> Project: HBase
> Issue Type: Umbrella
> Components: Performance
> Reporter: stack
> Assignee: stack
> Priority: Blocker
> Fix For: 2.0.0
>
> Attachments: CAM-CONFIG-V01.patch, HBASE-20188.sh, HBase 2.0
> performance evaluation - Basic vs None_ system settings.pdf,
> ITBLL2.5B_1.2.7vs2.0.0_cpu.png, ITBLL2.5B_1.2.7vs2.0.0_gctime.png,
> ITBLL2.5B_1.2.7vs2.0.0_iops.png, ITBLL2.5B_1.2.7vs2.0.0_load.png,
> ITBLL2.5B_1.2.7vs2.0.0_memheap.png, ITBLL2.5B_1.2.7vs2.0.0_memstore.png,
> ITBLL2.5B_1.2.7vs2.0.0_ops.png,
> ITBLL2.5B_1.2.7vs2.0.0_ops_NOT_summing_regions.png, YCSB_CPU.png,
> YCSB_GC_TIME.png, YCSB_IN_MEMORY_COMPACTION=NONE.ops.png, YCSB_MEMSTORE.png,
> YCSB_OPs.png, YCSB_in-memory-compaction=NONE.ops.png, YCSB_load.png,
> flamegraph-1072.1.svg, flamegraph-1072.2.svg,
> lock.127.workloadc.20180402T200918Z.svg,
> lock.2.memsize2.c.20180403T160257Z.svg, tree.txt
>
>
> How does 2.0.0 compare to old versions? Is it faster, slower? There is rumor
> that it is much slower, that the problem is the asyncwal writing. Does
> in-memory compaction slow us down or speed us up? What happens when you
> enable offheaping?
> Keep notes here in this umbrella issue. Need to be able to say something
> about perf when 2.0.0 ships.
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